Data Culture

Trust

Talent

Sharing

Commitment

Data is formally valued as a company asset and core to achieving strategic goals.

The organisational structure supports analytics goals (eg. role of CDO, CoE)

Data engineering efforts specifically support analytics efforts.

Organizations set clear expectations for data access and ethics, and people feel accountable to use data appropriately.

Organizations encourage transparency and exploration of data and people expect to challenge assumptions.

People build high-trust relationships by using data to create shared understanding.

Organizations provide enablement programs that are holistic and tailored for each role and level.

Using data is encouraged and incentivized by leadership.

Data skills are expected in all roles, included in the job description, and prioritized during the hiring process.

Teams share data cross-functionally to support key business objectives

People help each other and actively share knowledge around data and analytics.

Organizations ensure knowledge is codified and best practices are documented and shared widely.

Mindset

People question the establish ways of operating, using experimentation and hypothesis testing to find better ways.

People and organizations focus on outcomes, not outputs to continually improve.

Analytics influences how data is collected and how operational processes are designed.